| Pak_breng vs Kazuya | 20–23 | 46.51% |
| Pak_breng vs Heihachi | 13–24 | 35.14% |
| Pak_breng vs Jin | 14–18 | 43.75% |
| Pak_breng vs Hwoarang | 17–13 | 56.67% |
| Pak_breng vs Reina | 21–8 | 72.41% |
| Pak_breng vs Fahkumram | 20–7 | 74.07% |
| Pak_breng vs Law | 11–13 | 45.83% |
| Pak_breng vs Yoshimitsu | 11–12 | 47.83% |
| Pak_breng vs Lee | 13–10 | 56.52% |
| Pak_breng vs King | 11–11 | 50.00% |
| Pak_breng vs Anna | 14–8 | 63.64% |
| Pak_breng vs Bryan | 11–10 | 52.38% |
| Pak_breng vs Dragunov | 7–12 | 36.84% |
| Pak_breng vs Steve | 11–7 | 61.11% |
| Pak_breng vs Xiaoyu | 9–8 | 52.94% |
| Pak_breng vs Paul | 4–12 | 25.00% |
| Pak_breng vs Lars | 7–9 | 43.75% |
| Pak_breng vs Jun | 9–7 | 56.25% |
| Pak_breng vs Lili | 9–6 | 60.00% |
| Pak_breng vs Nina | 9–6 | 60.00% |
| Pak_breng vs Leo | 7–6 | 53.85% |
| Pak_breng vs Armor King | 6–5 | 54.55% |
| Pak_breng vs Azucena | 6–4 | 60.00% |
| Pak_breng vs Asuka | 3–6 | 33.33% |
| Pak_breng vs Leroy | 5–4 | 55.56% |
| Pak_breng vs Victor | 1–8 | 11.11% |
| Pak_breng vs Clive | 6–3 | 66.67% |
| Pak_breng vs Jack-8 | 4–4 | 50.00% |
| Pak_breng vs Devil Jin | 5–3 | 62.50% |
| Pak_breng vs Feng | 1–6 | 14.29% |
| Pak_breng vs Alisa | 7–0 | 100.00% |
| Pak_breng vs Claudio | 2–5 | 28.57% |
| Pak_breng vs Lidia | 5–1 | 83.33% |
| Pak_breng vs Zafina | 3–2 | 60.00% |
| Pak_breng vs Shaheen | 2–2 | 50.00% |
| Pak_breng vs Panda | 4–0 | 100.00% |
| Pak_breng vs Eddy | 2–2 | 50.00% |
| Pak_breng vs Kuma | 0–2 | 0.00% |
| Pak_breng vs Raven | 2–0 | 100.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.